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Map Transformation to Force Convergence to Unique Fixed Point

Is there a transformation $\mathcal{T}$ of maps $\mathbb{R}_{{\geq}0}^{n} \rightarrow \mathbb{R}_{{\geq}0}^{n}$ with the following property? If a map $F : \mathbb{R}_{{\geq}0}^{n} \rightarrow \mathbb{...
Gilles Gnacadja's user avatar
1 vote
0 answers
463 views

Splitting wave equation for application of CPML

A recent paper (Roden and Gedney, 2000) proposed the application of a Convolutional Perfectly Matched Layer (CPML) to approximate free-field conditions for Finite-Difference Time-Domain (FDTD) ...
Nicholas Kinar's user avatar
1 vote
0 answers
165 views

Uncertainty on sum of values sampled from unknown probability distribution function

I am dealing with a Monte-Carlo simulation which provides me with a value $x$ as a result. I can run the simulation $n$ times, which gives me $n$ values. I don't know in advance what the probability ...
cele010's user avatar
  • 11
1 vote
0 answers
1k views

Covariance matrix formula interpretation - what am I missing?

I'm reading a paper that outlines the calculation of a covariance matrix like the following: $C=\displaystyle\sum^{N_b}_{i=1}\vec{x}_i\vec{x}_i^T$ What is the order of this matrix? My interpretation ...
fbrereto's user avatar
  • 111
1 vote
0 answers
393 views

iterated characteristic polynomials

If I have $N$ $M\times M$ symmetric positive definite matrices $A_i$ and an $N\times N$ positive semi-definite symmetric matrix B, let the $N\times N$ matrix $C_{ij}(\lambda)=B_{ij}$ for $i\ne j$ and $...
mifune's user avatar
  • 11
1 vote
1 answer
152 views

Linear interpolation vs L2-projection

I'm reading the book "The Finite Element Method: Theory, Implementation, and Applications" by Larson and Bengzon. In the first chapters there are presented two methods for approximating ...
Cymek3's user avatar
  • 19
1 vote
1 answer
226 views

How are real-analytic functions encoded in computer algebra?

I would like to know how are encoded the real-analytic functions on the interval by the computers. When I think in a real-analytic function I just think in a composition of the ''typical'' analytic ...
Umberto's user avatar
  • 105
1 vote
1 answer
154 views

numerical methods for discontinuous ODEs

Greetings, what are state of art methods for numerical solution of ODEs with discontinuous right side? I'm mostly interested piecewise-smooth right side functions, e.g. sign.
Ash Shevlyakov's user avatar
0 votes
1 answer
1k views

For Ax = b, x and b unknown vectors, how do I solve the x that maximizes min(b_i)?

Given a matrix $A$, each element $A_{i,j} \geq 0$, find the vector $\vec x$ that maximizes the minimum element in $\vec b$ ($\vec b = A \vec x$). Note that this is not a linear equation system as I ...
SoftMemes's user avatar
  • 135
0 votes
1 answer
769 views

Proving that the eigenvalues of a certain matrix product are positive

Let $A$ be an $m \times n$ matrix, and define: \begin{align*} U &= {\rm diag} \{ \frac{1}{\beta_j} \}, \beta_j = \sum_{k=1}^m |a_{kj}|, j = 1 \dots n \\ V &= {\rm diag} \{ \frac{1}{\alpha_i} \}...
t_h's user avatar
  • 3
0 votes
1 answer
320 views

Correct way to conduct equilibrium scaling of linear/integer/MIP program

I would like to scale my linear/integer program and also mixed-integer program using the equilibrium scaling method. I have worked on two research papers and one research book. However, they did the ...
asdf's user avatar
  • 21
0 votes
2 answers
303 views

Benchmark Systems for ODE Solvers - Reference Request

I would like to have a basic models as a ground truth for the numerical solvers. I am looking for systems which have available analytic solution. As an example I know that the closed form solution of ...
Slaven Glumac's user avatar
0 votes
1 answer
255 views

Numerical methods for solving a hyperbolic nonlinear PDE

What type of numercial methods are there to solve PDE of the sorts of: $$f(x,t,u(x,t))u_{xx} - g(x,t,u(x,t))u_{tt} = F(x,t,u(x,t))$$ $$u(x,0)=G_1(x) , \frac{\partial u(x,0)}{\partial t}=H_1(x) ,u(0,t)...
Alan's user avatar
  • 1,594
0 votes
1 answer
2k views

How to determine the distance between two matrices under the meaning of a matrix function? [closed]

Suppose a nonlinear infinitely continous differentiable function $f:\mathbb{D}\mapsto \mathbb{R^+}$, where $\mathbb{D}\subset\left\{X|\text{rank}{X}=2,X\in\mathbb{R}^{3\times 3}\right\}$ is a ...
LCFactorization's user avatar
0 votes
1 answer
359 views

An Infimum Question [closed]

Is it true that $$\inf_{t,x,y\in\mathbb{R}}\max\left(\left|x-1\right|+\left|tx-1\right|,\left|y-1\right|+\left|ty-2\right|\right)=1/3?$$ Thanks.
user10621's user avatar
0 votes
2 answers
97 views

Optimization algorithms for Kronecker approximation of high-dimensional covariance matrices

I'm working with a high-dimensional covariance matrix and exploring Kronecker product approximations to make it computationally manageable. Here's the setup: I have a graph $G$ represented by a $D\...
JJbox's user avatar
  • 1
0 votes
1 answer
539 views

Method for (binary) optimization under constraints

I would like to know if there is a method to solve the Problem. Problem: Maximize the following function: $$f(p_{1,i},p_{2,i},\dotsc,p_{m,i})=\sum_{i=1}^{n}\begin{bmatrix}p_{1,i} & p_{2,i} & \...
kris's user avatar
  • 3
0 votes
1 answer
226 views

Fractional values in linear programming

Consider the linear programming problem \begin{align} f^* = \max_{x}&~p^Tx~\\~&A^Tx\leq b~,~0\leq x_i\leq 1 \end{align}where $p$ is a $n\times 1 $ vector, $A$ is a $n\times c$ matrix and $b$ ...
dineshdileep's user avatar
  • 1,421
0 votes
1 answer
144 views

Maximize function on rotation matrices [closed]

Let $A$ be a fixed 3-by-3 matrix and $Q$ be a rotation matrix whose yaw, pitch, and roll angles are $\phi\in[0,\pi]$, $\theta\in[0,\pi]$, and $\psi\in[0,\pi/2]$, respectively: \begin{equation} Q= \...
Benjamin Techer's user avatar
0 votes
1 answer
540 views

Computing spectrum of convex combination of SPD matrices given individual spectral decompositions

Given the spectral decompositions of a non-commuting collection of symmetric positive definite $N\times N$ matrices $$\left\{ K_{i}\right\} _{i=1}^{M}, U_{i}D_{i}U_{i}^{T}=K_{i},\quad i=1,\dots,M,$$ ...
nothing's user avatar
  • 133
0 votes
1 answer
338 views

Is spectral properties a general term for condition number?

I am reading an article about solving large sparse linear systems, in this paper it’s said that most of the iterative methods to solve $Ax = b$ are very much influenced by the spectral properties of ...
lino's user avatar
  • 253
0 votes
1 answer
98 views

What is exponentially fitted osculating straight line?

While reading an article about iterative methods for solving nonlinear equations I can't understand what is exponentially fitted osculating straight line. Could someone please briefly explain this ...
Marc Andreson's user avatar
0 votes
3 answers
7k views

Find an $N$-dimensional vector orthogonal to a given vector

I'm writing an eigensolver and I'm trying to generate a guess for the next iteration in the solve that is orthogonal to to all known eigenvectors calculated thus far. This means that if I have only ...
wavepacket's user avatar
0 votes
3 answers
2k views

Polynomial Regression/Least Squares

I have a couple questions on the same topic: 1) Does ordinary linear least squares have a generally defined confidence interval. I know that you can determine the confidence interval of each term, $\...
Howard's user avatar
  • 9
0 votes
2 answers
178 views

Inversion formula for discrete sine and cosine transforms

$\newcommand{\wh}[1]{{\widehat{#1}}} \newcommand{\R}{{\mathbb{R}}} $I am looking for a proof of the inversion formulas for the discrete sine and cosine transforms, i.e. a proof of the fact that these ...
Bettina's user avatar
  • 113
0 votes
1 answer
36 views

Benefit of adding a trivial constraint to ILPs

let ILP be an integer linear program with constraints-matrix $\boldsymbol{\mathrm{M}}\in\mathbb{Z}^{m\times n}$ and cost vector $\boldsymbol{\mathrm{c}}\in\mathbb{Z}^n$, ${\boldsymbol{\mathrm{x}}^*}\...
Manfred Weis's user avatar
  • 13.2k
0 votes
1 answer
93 views

How quickly can this IQP or its MILP relaxation be solved

Let $A\in\{0,1\}^{(n,n)}$ be a $n$ by $n$ boolean matrix (in particular think of an adjacency matrix of a graph), and consider the following optimization problem: $$\begin{align*}&&\max_{P\in\{...
alosc's user avatar
  • 71
0 votes
1 answer
131 views

How hard is a linear programming with a bounded constraint?

Background: I am reading Greg Kuperberg's answer to the question Deciding membership in a convex hull. I am thinking about the complexity of ''Deciding membership in a convex hull''. Restate the ...
Inner_peace's user avatar
0 votes
1 answer
214 views

How do you call a linear programming problem when the solution should be "constrained" to a norm?

(apologies for the n00b question) Let's say we have a vector of length $n$, with to-be-determined values: $a_1, a_2, ...,a_n$. And we have information that partial sums of these elements are equal to ...
Tal Galili's user avatar
0 votes
1 answer
320 views

Sub optimal algorithm for linear programming

Consider the linear programming problem \begin{align} f^* = \max_{x}&~p^Tx~\\~&A^Tx\leq b~,~0\leq x_i\leq 1 \end{align}where $c$ is a $n\times 1 $ vector, $A$ is a $n\times c$ matrix and $b$ ...
dineshdileep's user avatar
  • 1,421
0 votes
1 answer
39 views

Gluing simplices through a common point/ realisation of a convex simplicial polytope

Given $m≥d+1$ a positive integer, is it always possible to find m d-dimensional simplices $\Delta_i=\mathrm{Conv}(M,V_{i,1},…,V_{i,d})$ such that 1) they all share the common vertex M 2) the ...
giulio bullsaver's user avatar
0 votes
1 answer
309 views

Fast and reliable positive real root of cubic [closed]

I know that in a cubic equation $ax^3+bx^2+cx+d=0$ holds $a,b>0$, and $d<0$, so there exists exactly one positive real root. I can solve for all of the roots, no problem, but I want to ...
user avatar
0 votes
1 answer
212 views

How to find out if a polytope contains a sphere?

Given a polytope described by linear inequalities $Ax \le b, x \in \mathbb R^n$, how do you find out if there exist a (non degenerate) sphere of dimension $n-1$ contained in the polytope? Thanks!
maroxe's user avatar
  • 225
0 votes
2 answers
636 views

Proof that polynomial evaluated at roots of unity is DFT [closed]

Hello All, I hope I am not abusing the forum here. I am just trying to understand the efficient implementations of the fast fourier transform. My reading and searching has led me to understand that ...
marrick's user avatar
0 votes
1 answer
130 views

Cascading minimization problems

Hi all. Suppose I have a linear programming problem on the vector variable $x$ that has many solutions and let $U$ be the set of these solutions. Suppose I have a second LP problem on $y \in U$. ...
ashade's user avatar
  • 57
0 votes
2 answers
891 views

Find both maximum and minimum values in linear programming problem

Hi all. I have a linear programming problem where I need to find both maximum and minimum values of the objective function. The optimal points are not relevant. Is there an efficient way to do so?
ashade's user avatar
  • 57
0 votes
1 answer
1k views

Frequency calculation using fourier transform [closed]

How to calculate the frequency of an audio file using Fourier Transform
Gaushick's user avatar
0 votes
2 answers
436 views

Discrete Wavelet Transform and L2 Basis

Using the mother wavlet $phi$ one obtains an orthonormal basis $\phi_{j,k}(x):=2^{j/2}\,\phi(2^j\,x-k)$of L^2 (on the unit interval say). Given a function $f$ on can calculate the coefficients using ...
warsaga's user avatar
  • 1,256
0 votes
2 answers
4k views

Linear programming piecewise linear objective

I am fairly new at linear programming/optimization and am currently working on implementing a linear program that is stated like this: max $\sum_{i=1}^{k}{p(\vec \alpha \cdot \vec c_i)}$ $s.t. $ $|\...
AFJ's user avatar
  • 3
0 votes
2 answers
2k views

Finding the local/global minima of Shubert function

Consider the 2D Shubert function. As given in that page, the function has 18 global minima and several local minima. How can I find the (x,y) of all these minima? Any help appreciated. If it was a ...
Amit's user avatar
  • 121
0 votes
2 answers
4k views

Convergence of iterative algorithm.

For quite a long time I'm trying to prove convergence of an iterative algorithm in case of a particular system of nonlinear equations. Here are some characteristics of this system: It consists of n ...
Tomek Tarczynski's user avatar
0 votes
1 answer
58 views

Integration algorithm and analytic property

This question is the continuation of the previous one. In the article about the integration of analytical polynomial - time computable function $f(x)$ with the Taylor series $$f(x) = \sum_{n=0}^{\...
poeaqnwgo's user avatar
0 votes
1 answer
169 views

How to integrate an indicator function/constraint into the cost function of a linear program?

I have a mathematical model $P$ for which I optimize two cost functions say $F_1$ and $F_2$ subject to a set of constraints $C1$–$C10$. In $F_2$, I want it to be included only when its expression ...
LyLa's user avatar
  • 3
0 votes
1 answer
166 views

Matrices and vectors of intervals

I'm working on a project and think that matrices and vectors of intervals will be useful. I'm aware about interval arithmetic, but there is little information on the internet, regarding matrices and ...
Paul R's user avatar
  • 49
0 votes
1 answer
28 views

Calculating vertex potentials from optimal matchings

Question: can the solution to the dual of a Linear Program be calculated directly from the solution of the primal Linear Program? If yes, what are known algorithms and their bounds on complexity. As ...
Manfred Weis's user avatar
  • 13.2k
0 votes
2 answers
131 views

Reshaping data vector into a matrix for deconvolution using a circulant matrix

Suppose we have a circulant matrix S made from pseudorandom binary sequence of length $N$ consisting of $0$'s or/and $1$'s. $1$ means that we can inject something for chemical analysis and $0$ means ...
ACR's user avatar
  • 879
0 votes
1 answer
212 views

Where can I find the paper by Tappert and Hardin on split-step Fourier transform method?

The split-step method is a numerical method that can be used to solve a nonlinear PDE (https://en.wikipedia.org/wiki/Split-step_method). Even Wikipedia does not refer to the original authors (F.D. ...
Redsbefall's user avatar
0 votes
1 answer
142 views

Least square error problem ill conditioning

I am trying to understand why I am getting an almost singular matrix in a problem I have. The problem is a simple as $$ \min_{X \in \mathbb{R}^{m,n}} \left\lVert AX - B \right\rVert_F^2 $$ Obvioulsy ...
user8469759's user avatar
0 votes
1 answer
171 views

Are root finding algorithms stable for bounded polynomials? [closed]

Suppose that we have a bounded polynomial defined on $[0,1]$. I think because it is just polynomial, root finding algorithms would easily and without any instability find all its roots. Am I right? ...
bitWise's user avatar
  • 113
0 votes
1 answer
110 views

Detecting non-negativity of a single constraint by polyhedral constraints - $I$

We consider $$\langle a,x\rangle=b$$ (linear constraints) where $x\in\mathbb R_{\geq0}^n$ and every entry in $a=(a_1,\dots,a_n)$ is in $\mathbb Z_{\geq0}^{n}$ (non-negative) and the entry $b$ is in $\...
Turbo's user avatar
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